Currents in the Cross-Legal: Recontextualizing Terence Rattigan’s <i>The Winslow Boy</i>
Bibliographic record
Abstract
Though Terence Rattigan’s reputation as a playwright has successfully been revived in recent years, critical responses to the plays – The Winslow Boy (1946) being a case in point – remain limited to the perspectives of British theatre history and British party politics. Paying particular attention to ‘cross-legal’ parallels between The Winslow Boy and a variety of historical and fictional analogues, Alex Feldman restores the play to a broader frame of reference, and to some of its original contexts of production and reception. First considering Rattigan’s juvenile dramatic forays into the law, including his adaptation of A Tale of Two Cities, he proceeds to explore archival evidence of The Winslow Boy’s European reception, pursuing parallels drawn by reviewers with the Nuremberg trials, the Dreyfus case, and Heinrich von Kleist’s 1811 novella, Michael Kohlhaas, re-positioning The Winslow Boy within the transnational and transhistorical legal imaginary to which it properly belongs. Alex Feldman is an Assistant Professor of English at MacEwan University in Alberta. His first book, Dramas of the Past on the Twentieth-Century Stage: in History’s Wings, was published by Routledge in 2012.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.028 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".